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DEA-C01 AWS Glue Question Bank (25 Questions)

Browse all 25 practice questions covering AWS Glue for the DEA-C01 certification exam. Answers are intentionally hidden on this page so you can self-test first before checking results in quiz mode.

Question 1Data Ingestion and Transformation
Which AWS service can be used to orchestrate and schedule ETL workflows that involve multiple Glue jobs and crawlers?
AAmazon EventBridge
BAWS Step Functions
CAWS Glue Workflows
DAmazon MWAA
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Question 2Data Operations and Support
A data engineer uses AWS Glue Job Bookmarks to process only new data since the last run. The job failed midway. What does Glue Job Bookmark ensure when the job is rerun?
AThe job reprocesses all data from the beginning
BThe job starts where it left off before the failure
CThe job skips the failed partition entirely
DThe job creates a new table for the reprocessed data
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Question 3Data Ingestion and Transformation
What are Glue job bookmarks?
AA favorite jobs list
BA mechanism that tracks previously processed data so Glue jobs can incrementally process only new data in subsequent runs
CA documentation feature
DA scheduling feature
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Question 4Data Ingestion and Transformation
An analytics team uses AWS Glue DataBrew to prepare data for a machine learning model. They want to automatically identify data quality issues such as missing values, duplicates, and outliers. Which DataBrew feature provides this?
ADataBrew Jobs
BDataBrew Recipes
CDataBrew Profile Jobs
DDataBrew Datasets
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Question 5Data Security and Governance
A data governance team wants to ensure that only specific IAM roles can create, update, or delete databases and tables in the AWS Glue Data Catalog. Which service provides fine-grained access control at the database and table level?
AAWS IAM resource policies
BAWS Lake Formation permissions
CS3 bucket policies
DAWS Glue crawlers with restricted permissions
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Question 6Data Security and Governance
A data engineer needs to ensure that only specific columns of a table in the Glue Data Catalog are accessible to analysts. Which service provides this capability?
AAWS IAM column-level policies
BAWS Lake Formation column-level permissions
CS3 Access Points
DAmazon Redshift row-level security
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Question 7Data Ingestion and Transformation
What is the purpose of AWS Glue DataBrew?
ADatabase brewing
BA visual data preparation tool for cleaning and normalizing data using 250+ built-in transformations without writing code
CA data catalog
DA monitoring tool
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Question 8Data Security and Governance
How does AWS Glue Data Catalog support data governance?
AIt doesn't
BProvides centralized metadata repository with schema versioning, data lineage, and integration with Lake Formation for access control
COnly stores schemas
DOnly for Glue ETL
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Question 9Data Ingestion and Transformation
What is the difference between AWS Glue crawlers and classifiers?
ANo difference
BCrawlers automatically scan data sources and populate the Data Catalog; classifiers determine the format/schema of the data (CSV, JSON, Parquet, custom)
CCrawlers are for S3 only
DClassifiers replace crawlers
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Question 10Data Ingestion and Transformation
What is the purpose of the Glue Schema Registry?
AStore database schemas only
BCentrally manage and enforce Apache Avro and JSON schemas for data streams, enabling schema evolution and compatibility checking
CA DNS registry
DAn IAM registry
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Question 11Data Security and Governance
What is the AWS Glue Data Catalog?
AA product catalog
BA centralized metadata repository storing table definitions, schemas, and partition information for data across S3, RDS, Redshift, and other sources
CAn IAM feature
DA billing feature
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Question 12Data Operations and Support
How do you monitor Glue jobs?
ACannot monitor
BUse CloudWatch metrics (job runtime, DPU usage), Glue job bookmarks for incremental processing, Spark UI for detailed execution analysis, and CloudWatch Logs for debugging
COnly check completion
DManual log review
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Question 13Data Ingestion and Transformation
What is AWS Glue DataBrew?
AA Glue ETL feature
BA visual data preparation tool for cleaning and normalizing data using 250+ built-in transformations without writing code
CA database tool
DA monitoring tool
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Question 14Data Ingestion and Transformation
What is the purpose of AWS Glue Schema Registry?
AStore database schemas
BA centralized registry for Avro, JSON Schema, and Protobuf schemas that provides schema versioning, validation, and compatibility checks for streaming data
CStore API schemas
DStore S3 metadata
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Question 15Data Operations and Support
How does AWS Glue handle job bookmarks?
AManual checkpointing
BJob bookmarks automatically track previously processed data, enabling incremental processing by remembering where the last run left off
CNo checkpointing supported
DS3 versioning
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Question 16Data Security and Governance
What is AWS Glue Data Catalog?
AA product catalog
BA centralized metadata repository storing table definitions, schemas, and partition information that integrates with Athena, Redshift Spectrum, and EMR
CA data marketplace
DA documentation tool
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Question 17Data Ingestion and Transformation
What is the purpose of AWS Glue crawlers?
AWeb crawling
BAutomated programs that scan data stores (S3, JDBC, DynamoDB) to discover schemas, create/update table definitions in the Glue Data Catalog
CApplication testing
DSecurity scanning
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Question 18Data Ingestion and Transformation
A data engineering team uses AWS Glue to transform raw data. They want to define ETL logic using Python scripts and run them as serverless jobs. Which Glue component handles this?
AAWS Glue Crawlers
BAWS Glue Data Catalog
CAWS Glue ETL Jobs
DAWS Glue DataBrew
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Question 19Data Operations and Support
A company's Glue ETL job runs daily and takes 4 hours. The team wants to reduce runtime. Which Glue feature dynamically scales the number of workers based on the workload?
AGlue Triggers
BGlue Auto Scaling
CGlue Job Bookmarks
DGlue Development Endpoints
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Question 20Data Ingestion and Transformation
A company is migrating an on-premises Apache Spark ETL pipeline to AWS. They want minimal code changes. Which service is most appropriate?
AAWS Glue
BAmazon EMR
CAWS Lambda
DAWS Step Functions
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Question 21Data Ingestion and Transformation
Which Apache Spark operation in AWS Glue reduces the number of output files to optimize query performance in Amazon S3?
Arepartition()
Bcoalesce()
CgroupBy()
Dcache()
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Question 22Data Ingestion and Transformation
Which AWS Glue feature allows you to run ETL jobs on a schedule without managing infrastructure?
AGlue Development Endpoints
BGlue Job Bookmarks
CGlue Triggers with scheduled type
DGlue Interactive Sessions
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Question 23Data Operations and Support
A data engineer needs to monitor the performance of Glue ETL jobs and set alerts when jobs exceed expected duration. Which service should be used?
AAmazon CloudWatch with Glue job metrics
BAWS X-Ray
CAmazon Inspector
DAWS Config Rules
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Question 24Data Operations and Support
A company runs daily ETL jobs. They need to process only new or modified files in S3 since the last run. Which AWS Glue feature supports this?
AGlue Crawlers
BGlue Job Bookmarks
CGlue Classifiers
DGlue FindMatches
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Question 25Data Ingestion and Transformation
How does AWS Glue handle schema evolution in ETL jobs?
ASchema must be manually updated each time
BGlue crawlers detect schema changes automatically and update the Data Catalog; jobs can use DynamicFrame to handle evolving schemas
CSchema changes are not supported
DA new job must be created for each schema change
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Key AWS Glue Concepts for DEA-C01

glueetlcrawlerdata catalogdatabrewglue studiojob bookmarksparkglue jobschema registry

DEA-C01 AWS Glue Exam Tips

AWS Glue questions in DEA-C01 are typically scenario-based. Focus on data ingestion, transformation, storage optimization, and governance. Priority concepts: glue, etl, crawler, data catalog, databrew, glue studio.

What DEA-C01 Expects

Anchor your answer in choose scalable data pipeline patterns with clear data quality and security controls.
AWS Glue scenarios for DEA-C01 are frequently mapped to Domain 1 (34%), Domain 3 (22%), so read the objective carefully before picking controls or architecture.
Expect multi-topic scenarios where AWS Glue interacts with IAM, networking, storage, or observability patterns rather than appearing as an isolated question.
When two options are both technically valid, prefer the choice that best aligns with the exam's operational scope (Associate) and vendor best practices.

High-Value AWS Glue Concepts

Know the core AWS Glue building blocks cold: glue, etl, crawler, data catalog.
Review the edge-case features and limits for databrew, glue studio; these details are commonly used to differentiate answer choices.
Practice service-integration reasoning: how AWS Glue pairs with Kinesis, EMR, S3, Lake Formation in real deployment patterns.
For DEA-C01, explain why the chosen AWS Glue design meets reliability, security, and cost expectations better than the alternatives.

Common DEA-C01 Traps

Watch for ignoring partitioning, schema evolution, or query efficiency.
Questions in Data Ingestion and Transformation often include distractors that look correct for AWS Glue but violate least-privilege, durability, or availability requirements.
Avoid picking options purely by feature name; validate data path, failure handling, and governance impact before answering.
If the prompt hints at automation or repeatability, eliminate manual-only operational answers first.

Fast Review Checklist

Can you compare at least two AWS Glue implementation paths and justify which one best fits the scenario?
Can you map the chosen answer back to Data Ingestion and Transformation (34%) outcomes for DEA-C01?
Can you explain security and access boundaries for AWS Glue without relying on default-open assumptions?
Can you describe how AWS Glue integrates with Kinesis and EMR during failure, scaling, and monitoring events?

Exam Domains Covering AWS Glue

Domain 1Data Ingestion and Transformation34%Domain 3Data Operations and Support22%

Related Resources

🎯 Free DEA-C01 Mock Exam Kinesis Questions EMR Questions S3 Questions Lake Formation Questions

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